A/A testing slightly reminds A/B checking when two almost identical versions of the same page are tested. The A/A testing aim is to check whether the static data are displayed properly.
With the help of A/A testing, the marketers examine security and efficiency of the A/B testing platform. At the end of checking, the tool should generate a report in which there will be no difference between the conversion indicators of the same page samples.
Why to Execute A/A Testing?
- For the conversion number monitoring (initial indicator) on the page where A/B testing will be performed.
- For re-testing the correctness of the A/B checking results.
- For defining the randomness in the conversion indicators.
Some specialists state that A/A testing is a waste of time and effort which could be oriented to more effective ways of the conversion enhancement - usability testing of the website, user interface testing, and etc. But nevertheless, A/A checking remains widely used practice.
How Are A/A Tests Fulfilled?
- Two groups of users are provided with absolutely identical web pages.
- The user experience of both of these groups will be also similar.
- It is expected that KPI (Key Performance Indicator) will also be the same for two groups.
- If the indicators do not match, then one should analyze the exact reasons for the contradictions.This may be an unequal number of users for each of the pages.
Frequently, software product testing is more complex process than it may seem at the first sight. Many factors should be considered and learned in order to gain successful product of the high class in the end.